Data Mining Concepts and Techniques.
by
 
Han, Jiawei.

Title
Data Mining Concepts and Techniques.

Author
Han, Jiawei.

ISBN
9780123814807
 
9780123814791

Personal Author
Han, Jiawei.

Edition
3rd ed.

Publication Information
Burlington : Elsevier Science, 2011.

Physical Description
1 online resource (744 p.)

Contents
Front Cover; Data Mining: Concepts and Techniques; Copyright; Dedication; Table of Contents; Foreword; Foreword to Second Edition; Preface; Acknowledgments; About the Authors; Chapter 1. Introduction; Chapter 2. Getting to Know Your Data; Chapter 3. Data Preprocessing; Chapter 4. Data Warehousing and Online Analytical Processing; Chapter 5. Data Cube Technology; Chapter 6. Mining Frequent Patterns, Associations, and Correlations: Basic Concepts and Methods; Chapter 7. Advanced Pattern Mining; Chapter 8. Classification: Basic Concepts; Chapter 9. Classification: Advanced Methods.
 
Chapter 10. Cluster Analysis: Basic Concepts and MethodsChapter 11. Advanced Cluster Analysis; Chapter 12. Outlier Detection; Chapter 13. Data Mining Trends and Research Frontiers; Bibliography; Index.

Abstract
The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it's still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge. Since the previous edition's publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understandin.

Subject Term
Data mining.
 
Computer-assisted instruction.
 
Data mining -- Handbooks, manuals, etc.
 
Computer science.

Genre
Electronic books.

Added Author
Kamber, Micheline.
 
Pei, Jian.

Electronic Access
Ful text available online from Dawsonsera


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